Webclass 91: Do you wonder how much fraud goes on through email exchanges?

Q1. If you saw in an email the sentence: “in order to be able to transfer money back to the head-office, we will use the 3-Bridges construction company that is owned by the daughter of the owner”… what type of fraud case might that indicate?

Q2. Why might the purchasing department advise the supplier to reduce the quality but keep the cost the same?

Q3. If someone is sharing information on a closed-envelope Call For Tender, this would be…

Q4. What is the main fraud risk for distributor networks in fast moving consumer goods?

Q5. Why might your purchasing department advise the supplier to put-up the price?

Q6. What is a .PST file?

Q7. Which library did we use in the webclass to read the PST files in order to extract data into a flat-file format?

Q8. Why do we need to locate the root of the PST file?

Q9. What is the name of the object that stores the email information?

Q10. Which function from the pypff-python library gives us the email subject?

Q11. Why might we want to use a word cloud?

Q12. Which python library helps us to be able to convert a paragraph into a list of words and also into a list of sentences?

Q13. How many lines of code to we need to create a wordcloud in python, if we already have a list of words?

Q14. What does the word_tokenize package of the nltk library do for us?

Q15. What does the stopwords package of the nltk library do for us?

Q16. Was the getSentence function from a standard python package or did we create it?

Q17. Which package helps us to convert a paragraph into a list of sentences?

Q18. Did the word cloud in QLIK allow us to filter on a word?

Q19. Did the word cloud in python allow us to filter on a word?